Associate Professor David Grayden

Research Interests

  • Bionic Ear (Speech processing)
  • Neural Modelling (Speech processing, learning)
  • Bionic Eye (Vision processing)
  • Epilepsy (Prediction of seizures, seizure control)

Biography

David Grayden is an Associate Professor and Reader in the Department of Electrical and Electronic Engineering at The University of Melbourne.

A/Prof Grayden is Director of Biomedical Engineering, Director of the NeuroEngineering Laboratory in Electrical & Electronic Engineering, and Leader of the Bionics Laboratory in the Centre for Neural Engineering.

A/Prof Grayden's main research interests are in understanding how the brain processes information and how best to present information to the brain using medical bionics, such as the bionic ear and bionic eye. He is also conducting research in epileptic seizure prediction and electrical stimulation to prevent or stop epileptic seizures. He has research linkages in Australia with Cochlear Limited, the Bionics Institute, St Vincent's Hospital Melbourne, Royal Melbourne Hospital, and NICTA.  He also has international research linkages with TU Illmenau (Illmenau University of Technology) and McMaster University.  He supervises a number of postdoctoral researchers and PhD and Research Masters students.

A/Prof Grayden teaches in the Bioengineering and Biomedical Engineering programs.  He teaches in the subjects: Neural Information Processing, Biosystems Design, and Biomedical Engineering Design Project.  He also contributes to the Neuroscience Research Training course modules and the breadth subject, Seeing: The Whole Picture.

Research interests:
Computational Neuroscience
Epilepsy
Audition, Speech and Bionic Ear Design
Vision and Bionic Eye Design

Recent Publications

  1. Kuhlmann L, Hauser-raspe M, Manton JH, Grayden DB, Tapson J, Van Schaik A. Approximate, Computationally Efficient Online Learning in Bayesian Spiking Neurons. Neural Computation. MIT Press. 2014, Vol. 26, Issue 3, pp. 472 - 496.
  2. Kerr R, Grayden DB, Thomas DA, Gilson M, Burkitt AN. Coexistence of Reward and Unsupervised Learning During the Operant Conditioning of Neural Firing Rates. PLoS One. Public Library of Science. 2014, Vol. 9, Issue 1.
  3. Mclachlan NM, Grayden DB. Enhancement of speech perception in noise by periodicity processing: A neurobiological model and signal processing algorithm. Speech Communication. North-Holland. 2014, Vol. 57, pp. 114 - 125.
  4. Liang X, Kuhlmann L, Johnston LA, Grayden DB, Vogrin S, Crossley R, Fuller K, Lourensz M, Cook MJ. Extending Communication for Patients with Disorders of Consciousness. Journal of Neuroimaging. Sage Science Press. 2014, Vol. 24, Issue 1, pp. 31 - 38.
  5. Maturana MI, Kameneva TK, Burkitt AN, Meffin H, Grayden DB. The effect of morphology upon electrophysiological responses of retinal ganglion cells: simulation results. Journal of Computational Neuroscience. Kluwer Academic Publishers. 2014, Vol. 36, Issue 2, pp. 157 - 175.
  6. Hersbach A, Mauger SJ, Grayden DB, Fallon JB, Mcdermott HJ. Algorithms to improve listening in noise for cochlear implant users. Proceedings of the 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE Explore. 2013, pp. 428 - 432.
  7. Sergeev E, Meffin H, Tahayori B, Grayden DB, Burkitt AN. Effect of soma polarization on electrical stimulation thresholds of retinal ganglion cells. Proceedings of the 6th Annual International IEEE EMBS Conference on Neural Engineering. IEEE Explore. 2013, pp. 1135 - 1138.
  8. Davey C, Grayden DB, Egan GF, Johnston LA. Filtering induces correlation in fMRI resting state data. Neuroimage. Academic Press. 2013, Vol. 64, pp. 728 - 740.
  9. Meffin H, Tahayori B, Grayden DB, Burkitt AN. Internal Inconsistencies in Models of Electrical Stimulation in Neural Tissue. Proceedings of the 35th Annual International Conference of the IEEE EMBS. IEEE Explore. 2013, pp. 5946 - 5949.
  10. Apollo N, Grayden DB, Burkitt AN, Meffin H, Kameneva TK. Modeling intrinsic electrophysiology of AII amacrine cells: Preliminary results. Proceedings of IEEE Engineering in Medicine and Biology Conference (EMBC). IEEE Explore. 2013, pp. 6551 - 6554.
  11. Maturana M, Grayden DB, Burkitt AN, Meffin H, Kameneva TK. Multicompartment retinal ganglion cells response to high frequency bi-phasic pulse train stimulation: Simulation results. Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Explore. 2013, pp. 69 - 72.
  12. Savage CO, Grayden DB, Meffin H, Burkitt AN. Optimized single pulse stimulation strategy for retinal implants. Journal of Neural Engineering. Institute of Physics Publishing. 2013, Vol. 10, Issue 1, pp. 1 - 9.
  13. Freestone DR, Kuhlmann L, Chong MS, Nesic D, Grayden DB, Aram P, Postoyan R, Cook MJ. Patient-Specific Neural Mass Modeling - Stochastic and Deterministic Methods. Recent Advances in Predicting and Preventing Epileptic Seizures. World Scientific Publishing Co. 2013, pp. 63 - 82. Editors: Tetzlaff R, Elger CE, Lehnertz K.
  14. Maturana M, Wong R, Cloherty SL, Ibbotson MR, Hadjinicolaou AE, Grayden DB, Burkitt AN, Meffin H, O'brien BJ, Kameneva TK. Retinal ganglion cells electrophysiology: The effect of cell morphology on impulse waveform. Proceedings of IEEE Engineering in Medicine and Biology Conference (EMBC). IEEE Explore. 2013, pp. 2583 - 2586.
  15. Davey C, Grayden DB, Gavrilescu M, Egan GF, Johnston LA. The equivalence of linear Gaussian connectivity techniques. Human Brain Mapping. Wiley-Liss. 2013, Vol. 34, Issue 9, pp. 1999 - 2014.

David Grayden

Level: 01 Room: 102
Centre for Neural Engineering, Parkville
University of Melbourne
3010 Australia

T: +61 3 90353796
E: grayden@unimelb.edu.au


View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile